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Exposure studies with lipophilic substances in a zebrafish model- formulation of test compounds into food
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AVI-Net: Audio-visual-integration inspired deep network with application to short-term air temperature forecasting
No full textAccurate forecasting of air temperature plays an important role in epidemic disease prevention, agricultural safety, tourism management, etc., but is hard to accurately perform since the series as a natural process involves lots of stochastic and nonlinear fluctuations. Meanwhile, most existing deep forecasting networks attempt to improve accuracy by integrating some design tricks and lack reasonable guidelines and domain knowledge. Biologically-inspired ideas are promising to address the above drawbacks, and this paper develops an audio-visual-integration inspired deep network, namely AVI-Net, for short-term air temperature forecasting, including the feature capture (imitating the auditory canal and ocular globe), feature analysis (imitating the left and right cerebral hemispheres) and forecasting realization blocks (imitating the high-level brain region). First, the domain knowledge is injected in the AVI-Net from the selection-addition feature and the loss function constructed via the Gaussian kernel, improving the extraction capability of long-term trends and short-term non-linearities. Second, multiple Monte Carlo dropout layers are integrated into the AVI-Net to introduce the model uncertainty, obtaining confidence intervals and enhancing the application values. Finally, the AVI-Net deeply mimics the audio-visual integrated system in the flowchart, structure, and function, inheriting its superior analysis capabilities and having somewhat interpretability in the network design. Seven experiments and six discussions under two real-world datasets present that the AVI-Net has better forecasting accuracy and stability than 14 baselines, and is suitable to be the intelligent and reliable decision support system for related sectors
Perspectives on service accessibility in digital transformation – an analysis of Wellbeing Services Counties’ strategy documents
No full textPerfectionism and emotional school engagement in upper secondary education – the connection between perfectionism and perceived support from teachers, parents and peers
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Foresight-Related Dynamic Capabilities in Finnish Forest-Based Bioeconomy SMEs
No full textA highly uncertain and complex operating environment with numerous sustainability challenges creates pressure on companies and other societal actors to renew their practices and business models. Practicing corporate foresight, that is, applying foresight methods in strategic decision-making, together with a futures-conscious mindset, can help diverse companies to maintain their competitive advantage. Companies' dynamic capabilities on foresight and futures consciousness can facilitate sensing unexpected events, seizing emerging opportunities, and reconfiguring their business models and strategies to respond to changes in the operating environment. This study explored the foresight-related dynamic capabilities of small and medium-sized enterprises (SMEs) in the Finnish forest-based bioeconomy. A mixed methods approach was followed in which data were collected from Finnish SMEs using semi-structured interviews and an online questionnaire. The data were analyzed using interpretive content analysis and descriptive statistics. The findings suggest that the included Finnish forest-based bioeconomy SMEs do have the capability to sense and seize opportunities within the changing operating environment. However, the managements' perceptions emphasize short-term operational planning of their activities occurring in a rather closed and predictable environment. There were only limited indications of the capability to reconfigure business models in a futures-conscious way. Thus, it can be suggested that nurturing a more open mindset toward alternative future pathways, recognizing how company actions impact other actors and the operating environment, and utilizing foresight-generated knowledge in strategic planning and decision-making can provide opportunities to create new sources of sustainable competitive advantage
